electricsheepafrica/africa-ghana-census-data-population-271cf66d

Census Data Population | Africa (Ghana Open Data)

181 rows - 1 Africa country/area - 2010 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 181 rows from Ghana Open Data, covering Census Data Population. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: The data describes Population 6-19 years currently attending primary and JHS by type of locality, sex and highest grade completed captured in 2010 census year

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	181
Countries/areas	1
First period	2010
Last period	2010
Indicators	0
Columns	29
Source format	CSV

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
GHA	181	2010	2010	Ghana

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	18f7c2e1-0d1d-465a-9dd8-6c1a3ae8b2a1:0
country_iso3	string	ISO3 country or area code.	GHA
country_name	string	Country or area name.	Ghana
year	int64	Observation year.	2010
population_6_19_years_currently_attending_primary_and_jh	string	Source column from the original resource.	Age / Sex
unnamed_1	string	Source column from the original resource.	Primary
unnamed_3	double	Source column from the original resource.	``
unnamed_4	double	Source column from the original resource.	``
unnamed_5	string	Source column from the original resource.	``
unnamed_6	string	Source column from the original resource.	``
unnamed_7	string	Source column from the original resource.	``
unnamed_8	string	Source column from the original resource.	``
unnamed_9	string	Source column from the original resource.	``
unnamed_11	string	Source column from the original resource.	JHS
unnamed_12	string	Source column from the original resource.	``
unnamed_13	string	Source column from the original resource.	``
unnamed_14	string	Source column from the original resource.	``
unnamed_15	string	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	2010
source_period_end_year	int64	End year inferred from source metadata.	2010
source_period_label	string	Source column from the original resource.	2010
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source dataset or package title.	Census Data-Population
source_resource	string	Source resource title, table name, or file name.	Population 6-19 years currently attending primary and JHS by type of ...
source_package_id	string	Source package identifier.	d8d88233-2a8d-493d-9a5c-d3b06d592d81
source_resource_id	string	Source resource identifier.	18f7c2e1-0d1d-465a-9dd8-6c1a3ae8b2a1
source_url	string	Original source URL or download URL.	http://data.gov.gh/sites/default/files/harvest_resources/Population%2...
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-18T20:11:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-census-data-population-271cf66d")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "GHA"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: Ghana Open Data
• Publisher: Ghana official open data portal
• Portal: http://data.gov.gh
• Resource: Population 6-19 years currently attending primary and JHS by type of locality, sex and highest grade completed
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-18T20:12:34Z
• Hugging Face repo: electricsheepafrica/africa-ghana-census-data-population-271cf66d

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Build demographic profiles
• Normalize indicators per capita
• Join with service-delivery datasets
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_ghana_census_data_population_271cf66d_2010,
  title        = {Census Data Population | Africa (Ghana Open Data)},
  author       = {Ghana official open data portal},
  year         = {2010},
  url          = {http://data.gov.gh/dataset/census-data-population},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-census-data-population-271cf66d}}
}

License

Released under Open Data Commons Open Database License.

Original data is published by Ghana official open data portal. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: http://data.gov.gh/dataset/census-data-population